Why AI Should Be Treated as a Product Persona, Not Just a Feature

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Product teams routinely build detailed user personas but rarely account for AI agents as a distinct type of user, which experts argue is a critical strategic oversight. Unlike humans, AI agents cannot interpret visual cues, unwritten rules, or contextual workarounds that people naturally rely on to navigate flawed product designs. This means products that function adequately for human users may fail silently and confidently when operated by an AI agent. To address this, designers are urged to build explicit context into product logic, offer meaningful action-based APIs rather than UI click sequences, and apply granular permission levels for real-world actions. The recommended shift in success metrics — from chat sessions initiated to tasks completed without human correction — signals a deeper rethinking of what it means for a product to be genuinely AI-ready.

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